EP3273380B1 - Protection de données échangées entre un utilisateur de service et un fournisseur de services - Google Patents

Protection de données échangées entre un utilisateur de service et un fournisseur de services Download PDF

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Publication number
EP3273380B1
EP3273380B1 EP16180367.1A EP16180367A EP3273380B1 EP 3273380 B1 EP3273380 B1 EP 3273380B1 EP 16180367 A EP16180367 A EP 16180367A EP 3273380 B1 EP3273380 B1 EP 3273380B1
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Prior art keywords
data
encoded
service provider
service
encoding
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EP16180367.1A
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German (de)
English (en)
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EP3273380A1 (fr
Inventor
Stefan Popescu
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Siemens Healthcare GmbH
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Siemens Healthcare GmbH
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Priority to EP16180367.1A priority Critical patent/EP3273380B1/fr
Priority to PCT/EP2017/064784 priority patent/WO2018015081A1/fr
Priority to US16/318,747 priority patent/US10528763B2/en
Priority to CN201780044722.9A priority patent/CN109478222B/zh
Publication of EP3273380A1 publication Critical patent/EP3273380A1/fr
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • G06F21/6245—Protecting personal data, e.g. for financial or medical purposes
    • G06F21/6254—Protecting personal data, e.g. for financial or medical purposes by anonymising data, e.g. decorrelating personal data from the owner's identification
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
    • H04L63/0407—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks wherein the identity of one or more communicating identities is hidden
    • H04L63/0421—Anonymous communication, i.e. the party's identifiers are hidden from the other party or parties, e.g. using an anonymizer

Definitions

  • the invention further comprises a computer program product comprising a computer program that is directly loadable into a memory of a control unit of such a data protection system and which comprises program elements for performing relevant steps of the inventive method when the computer program is executed by the control unit of the data protection system.
  • images of a training data set may be provided with manual annotations.
  • the step of encoding an image comprises replacing a manual annotation by a neutral identifier.
  • the input data comprises a number of text documents
  • the step of encoding a document comprises replacing text elements of the document by linguistically unrelated text elements. For example, after pre-processing steps have been carried out on a text document to remove superfluous elements, the remaining words may be replaced by unrelated words in a different language so that it is impossible to identify the nature of the document. In this way, sensitive content related to a person or institution can be effectively rendered meaningless.
  • Fig. 3 shows a typical table 12 of patient-related data that might be collected by the service user SU.
  • Information relevant to a particular patient is organized in the table 12, with a first column C1 for clinical data fields, a second column C2 for corresponding values for each clinical data field, and a third column C3 for the statistical significance of each value in the second column C2.
  • increasing statistical significance is indicated by increasing numbers of stars.
  • Clinical patient data of this nature - patient age, gender, blood pressure, cholesterol levels - can be used to train a prediction model to estimate the risk of an individual developing cardio-vascular disease (CVD) within the next ten years.
  • CVD cardio-vascular disease
  • the information could be used by an eavesdropper to the detriment of the patient and the service user.
  • the table 12 is encoded using the inventive method as explained above, so that the meaningful content C in the fields of the table 12 are replaced by anonymous and meaningless data X in an encoded table 12'.
  • Such encoded upload data TD' is then uploaded to the service provider, and is fed to the untrained modelling and prediction algorithm M', which is trained in the usual manner using this data.
  • Fig. 6 shows such a conventional arrangement of a modelling and prediction algorithm PM provided by a service provider SP to a service user.
  • the training data 100, working data 100 and the results 101 returned by the model are sent over a data link between service user SU and service provider SP, and are therefore vulnerable to eavesdropping over the data link, and are also vulnerable to illicit use at the service provider end.
  • manual class encoding is performed on the documents 14 that will be used to train an as yet untrained document classifier M'.
  • the classes "Tax Return” and “Medical Record” may be encoded to the anonymous "Class 0" and "Class 1", respectively, and the training data TD' relates each encoded document with its appropriately encoded class.
  • the encoded training documents TD' are sent along with their encoded document classes to the remote service provider SP, which then initiates the training procedure on the received data TD'. Later, the service user SU can carry out the pre-processing steps on any number of as yet unclassified documents 14, upload the encoded working data WD' to the service provider SP, and request that the trained document classifier M processes the working data WD'.
  • the service provider SP then returns an encoded result RD' - i.e. an encoded class - for each of the documents in the working data WD'.
  • the service user SU can then apply the decoder module 11 to decode the download results RD' to obtain the document classes RD.
  • a subsequent unit or module 150 can then assign each document to the document class determined by the document classifier M.

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Computer Security & Cryptography (AREA)
  • Data Mining & Analysis (AREA)
  • Biomedical Technology (AREA)
  • Databases & Information Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Pathology (AREA)
  • Bioethics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Signal Processing (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Storage Device Security (AREA)

Claims (15)

  1. Procédé de protection de données (TD, WD, RD) échangées entre un utilisateur (SU) de service et un fournisseur (SP) de service, lequel procédé comprend les stades de
    - codage de données (TD, WD) d'entrée, en transformant du contenu (C) significatif des données (TD, WD) en du contenu (X) sans signification pour obtenir une donnée (TD', WD') codée téléchargée vers l'amont à envoyer au fournisseur (SP) de service, dans lequel la donnée (TD, WD) d'entrée comprend un certain nombre de documents (12) disposés en tableau et le stade de codage d'un document (12) disposé en tableau comprend la remise à l'échelle de l'intervalle de variation d'une variable numérique,
    la remise à l'échelle étant telle que la relation linéaire subsiste encore entre l'ensemble original de données et un ensemble codé de données ;
    - traitement de la donnée (TD', WD') codée téléchargée vers l'amont au fournisseur (SP) de service, en utilisant une modélisation analytique, une modélisation statistique de données ou des algorithmes de prédiction pour obtenir une donnée (RD') codée téléchargée vers l'aval à envoyer à l'utilisateur (SU) de service et
    - décodage de la donnée (RD') codée téléchargée vers l'aval, en transformant du contenu (X) sans signification de la donnée (RD') codée téléchargée vers l'aval en du contenu (C) significatif de donnée (RD) téléchargée vers l'aval.
  2. Procédé suivant la revendication 1, dans lequel on effectue le stade de codage de manière à ce que la donnée (TD', WD') codée téléchargée vers l'amont puisse être traitée au fournisseur (SP) de service par un service conçu pour traiter la donnée (TD, WD) non codée.
  3. Procédé suivant la revendication 1 ou la revendication 2, dans lequel le stade de codage de la donnée (TD', WD') téléchargée vers l'amont est effectué par l'utilisateur (SU) de service et/ou le stade de décodage de la donnée (RD') codée de sortie est effectué par l'utilisateur (SU) de service.
  4. Procédé suivant l'une quelconque des revendications précédentes, dans lequel la donnée (TD, WD) d'entrée comprend, en outre, un certain nombre de documents (12) disposés en tableau et le stade de codage d'un document (12) disposé en tableau comprend remplacer un nom de variable par un identificateur neutre et/ou remplacer une variable catégorique par un nombre.
  5. Procédé suivant l'une quelconque des revendications précédentes, dans lequel l'utilisateur (SU) de service demande, en outre, un traitement ou une analyse d'image (13) par un réseau (M) neuronal profond procuré par le fournisseur (SP) de service et dans lequel le stade de codage d'une image (TD, WD) comprend ajouter une couche d'entrée supplémentaire, effectuer une transformation d'image, qui n'affecte en aucune façon l'aptitude du réseau neuronal à subir un apprentissage, et à être optimisé pour reconnaître des caractéristiques d'image.
  6. Procédé suivant la revendication 5, dans lequel une image (13) est pourvue d'un certain nombre d'annotations (130) manuelles et le stade de codage de l'image (13) comprend remplacer une annotation (130) manuelle par un identificateur neutre.
  7. Procédé suivant l'une quelconque des revendications précédentes, dans lequel la donnée (TD, WD) d'entrée comprend, en outre, un certain nombre de documents (14) de texte et le stade de codage d'un document (14) comprend remplacer des éléments de texte du document par des éléments de texte exogènes.
  8. Procédé suivant la revendication 7, dans lequel on prend les éléments de texte exogènes dans une table d'équivalence et/ou on se procure les éléments de texte exogènes dans un langage différent et/ou on se procure les éléments de texte exogènes en appliquant un chiffre de substitution aux éléments de texte.
  9. Procédé suivant l'une quelconque des revendications précédentes, dans lequel la donnée (TD') codée téléchargée vers l'amont comprend une donnée (TD') codée d'apprentissage à utiliser en soumettant à un apprentissage un modèle (M') utilisé dans un service fourni par le fournisseur (SP) de service et dans lequel la donnée (RD) téléchargée vers l'aval comprend les résultats de la procédure d'apprentissage du modèle.
  10. Procédé suivant l'une quelconque des revendications précédentes, dans lequel la donnée (WD) codée de téléchargement vers l'amont comprend une donnée (WD) codée de travail à traiter par un modèle (M) d'apprentissage utilisé dans un service fourni par le fournisseur (SP) de service et dans lequel la donnée (RD) téléchargée vers l'aval comprend les résultats (RD) du service.
  11. Procédé suivant l'une quelconque des revendications précédentes, dans lequel on transforme un contenu (X) sans signification de la donnée (RD') codée téléchargée vers l'aval en un contenu (C) pertinent en appliquant l'opérateur inverse du stade de codage correspondant.
  12. Système (1) de protection de données, comprenant
    - un module (10) de codeur propre à coder une donnée (TD, WD) d'entrée, en transformant du contenu (C) significatif de la donnée (TD, WD) en du contenu (X) sans signification pour obtenir une donnée (TD', WD') codée téléchargée vers l'amont à envoyer au fournisseur (SP) de service,
    dans lequel la donnée (TD, WD) d'entrée comprend un certain nombre de documents (12) disposés en tableau et le stade de codage d'un document (12) disposé en tableau comprend la remise à l'échelle de l'intervalle de variation d'une variable numérique,
    la remise à l'échelle étant telle que la relation linéaire subsiste encore entre l'ensemble original de données et un ensemble codé de données ;
    - un fournisseur (SP) de service propre à traiter la donnée (TD', WD') codée téléchargée vers l'amont, en utilisant une modélisation analytique, une modélisation statistique de données ou des algorithmes de prédiction, afin d'obtenir une donnée (RD') codée téléchargée vers l'aval à envoyer à l'utilisateur (SU) de service ;
    - une interface de transfert de données réalisée pour télécharger vers l'amont, dans le fournisseur (SP) de service, la donnée (TD', WD') codée téléchargée vers l'amont et pour recevoir, du fournisseur (SP) de service, une donnée (RD') codée téléchargée vers l'aval et
    - un module (11) de décodeur réalisé pour transformer la donnée (RD') codée téléchargée vers l'aval en une donnée (RD) téléchargée comprenant du contenu (C) significatif.
  13. Système de protection de données suivant la revendication 12, dans lequel le module (10) de codeur est conçu, en outre,
    - pour coder des images (13) en préparation d'un service de traitement d'image fourni par le fournisseur (SP) de service et/ou
    - pour coder des documents (14) de texte en préparation d'un service de classification de document fourni par le fournisseur (SP) de service.
  14. Produit de programme d'ordinateur, comprenant un programme d'ordinateur, qui peut être chargé directement dans une mémoire d'une unité de commande d'un système (1) de protection de données et qui comprend des éléments de programme pour effectuer les stades du procédé suivant l'une quelconque des revendications 1 à 11, lorsque le programme d'ordinateur est exécuté par l'unité de commande du système (1) de protection de données.
  15. Support déchiffrable par ordinateur, sur lequel sont mémorisés des éléments de programme, qui peuvent être déchiffrés et exécutés par une unité d'ordinateur, afin d'effectuer les stades du procédé suivant l'une quelconque des revendications 1 à 11, lorsque les éléments de programme sont exécutés par l'unité d'ordinateur.
EP16180367.1A 2016-07-20 2016-07-20 Protection de données échangées entre un utilisateur de service et un fournisseur de services Active EP3273380B1 (fr)

Priority Applications (4)

Application Number Priority Date Filing Date Title
EP16180367.1A EP3273380B1 (fr) 2016-07-20 2016-07-20 Protection de données échangées entre un utilisateur de service et un fournisseur de services
PCT/EP2017/064784 WO2018015081A1 (fr) 2016-07-20 2017-06-16 Procédé de protection de données échangées entre un utilisateur de service et un fournisseur de services
US16/318,747 US10528763B2 (en) 2016-07-20 2017-06-16 Method of protecting data exchanged between a service user and a service provider
CN201780044722.9A CN109478222B (zh) 2016-07-20 2017-06-16 保护服务使用者和服务提供者之间交换的数据的方法

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EP16180367.1A EP3273380B1 (fr) 2016-07-20 2016-07-20 Protection de données échangées entre un utilisateur de service et un fournisseur de services

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EP3273380B1 true EP3273380B1 (fr) 2018-12-12

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US (1) US10528763B2 (fr)
EP (1) EP3273380B1 (fr)
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WO2018015081A1 (fr) 2018-01-25
CN109478222A (zh) 2019-03-15
CN109478222B (zh) 2020-08-28
US10528763B2 (en) 2020-01-07
US20190286850A1 (en) 2019-09-19
EP3273380A1 (fr) 2018-01-24

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